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Bounding boxes for weakly supervised segmentation: Global constraints
  get close to full supervision

Bounding boxes for weakly supervised segmentation: Global constraints get close to full supervision

14 April 2020
H. Kervadec
Jose Dolz
Shanshan Wang
Eric Granger
Ismail Ben Ayed
ArXivPDFHTML

Papers citing "Bounding boxes for weakly supervised segmentation: Global constraints get close to full supervision"

4 / 4 papers shown
Title
LNQ 2023 challenge: Benchmark of weakly-supervised techniques for mediastinal lymph node quantification
LNQ 2023 challenge: Benchmark of weakly-supervised techniques for mediastinal lymph node quantification
Reuben Dorent
Roya Khajavi
Tagwa Idris
Erik Ziegler
B. Somarouthu
...
Minghui Zhang
Steve Pieper
Gordon Harris
Ron Kikinis
Tina Kapur
61
5
0
19 Aug 2024
Constrained domain adaptation for Image segmentation
Constrained domain adaptation for Image segmentation
M. Bateson
Jose Dolz
H. Kervadec
H. Lombaert
Ismail Ben Ayed
GAN
41
25
0
08 Aug 2019
Constrained Deep Networks: Lagrangian Optimization via Log-Barrier
  Extensions
Constrained Deep Networks: Lagrangian Optimization via Log-Barrier Extensions
H. Kervadec
Jose Dolz
Jing Yuan
Christian Desrosiers
Eric Granger
Ismail Ben Ayed
22
55
0
08 Apr 2019
ENet: A Deep Neural Network Architecture for Real-Time Semantic
  Segmentation
ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation
Adam Paszke
Abhishek Chaurasia
Sangpil Kim
Eugenio Culurciello
SSeg
296
2,069
0
07 Jun 2016
1